北京市农林科学院机构知识库

Towards resilience effectiveness: Assessing its patterns and determinants to identify optimal geographic zones

收藏
分享
全文链接

文献类型：外文期刊

作者： Cheng, Tong ¹ ; Zhao, Yonghua ¹ ; Song, Yongze ³ ; Ma, Le ⁴ ; Zhang, Zehua ³ ; Luo, Peng ⁵ ; Gao, Peng ¹ ; Zhang, Mengna ¹ ; Zhao, Chunjiang ¹ ;

作者机构： 1.Changan Univ, Sch Land Engn, Shaanxi Prov Land Consolidat Engn Technol Res Ctr, Shaanxi Key Lab Land Consolidat, Xian 710054, Peoples R China

2.Minist Nat & Resources, Key Lab Degraded & Unused Land Consolidat Engn, Beijing, Peoples R China

3.Curtin Univ, Sch Design & Built Environm, Perth, Australia

4.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, 129 Luoyu Rd, Wuhan 430079, Peoples R China

5.Tech Univ Munich, Chair Cartog, Munich, Germany

6.Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

7.Changan Univ, Sch Land Engn, 126 Yanta Rd, Xian 710054, Peoples R China

关键词： COVID-19; Resilience effectiveness; Economic resilience; Patterns; Determinants; Optimal geographic zones

期刊名称：JOURNAL OF CLEANER PRODUCTION （影响因子：11.1；五年影响因子：11.0 ）

ISSN： 0959-6526

年卷期： 2023 年 429 卷

页码：

收录情况： SCI

摘要： Resilience has a critical role to promote human well-being in turbulent environments. However, extensive interventions and stimulus measures not only achieve resilience goals with numerous unacceptable consequences, but also highlight the narrow definition of resilience. The study proposes the concept of resilience effectiveness to constrain the unsustainability of resilience in concept and practice. The resilience effectiveness of Chinese cities in the early stages of the pandemic is first implemented for evaluation based on input-output relationship, and then patterns and determinants are investigated using the GIS methods and the geographically optimal zonesbased heterogeneity (GOZH) model. The study finds that the average resilience effectiveness is not high, indicating that China's strong resilience is the loss of safety, greenness, inclusiveness, and efficiency in the early stage of the pandemic. Resilience effectiveness has significant spatial heterogeneity and is dominated by innovation ability. The optimal geographic zones of Chinese cities for resilience effectiveness are identified, revealing that it is a complex and multifactorial process. This paper broadens resilience research and provides implications for city planning in the post-pandemic era.

相关文献

作者其他论文更多>>

Recognition of maize seedling under weed disturbance using improved YOLOv5 algorithm

作者：Tang, Boyi;Zhao, Chunjiang;Tang, Boyi;Zhou, Jingping;Pan, Yuchun;Qu, Xuzhou;Cui, Yanglin;Liu, Chang;Li, Xuguang;Zhao, Chunjiang;Gu, Xiaohe;Li, Xuguang

关键词：Object detection; Maize seedlings; UAV RGB images; YOLOv5; Attention mechanism
Boosting Cost-Efficiency in Robotics: A Distributed Computing Approach for Harvesting Robots

作者：Xie, Feng;Xie, Feng;Li, Tao;Feng, Qingchun;Li, Tao;Feng, Qingchun;Chen, Liping;Zhao, Chunjiang;Zhao, Hui

关键词：5G network; computation allocation; edge computing; harvesting robot; visual system
Genotyping Identification of Maize Based on Three-Dimensional Structural Phenotyping and Gaussian Fuzzy Clustering

作者：Xu, Bo;Zhao, Chunjiang;Xu, Bo;Zhao, Chunjiang;Yang, Guijun;Zhang, Yuan;Liu, Changbin;Feng, Haikuan;Yang, Xiaodong;Yang, Hao;Xu, Bo;Zhao, Chunjiang;Yang, Guijun;Zhang, Yuan;Liu, Changbin;Feng, Haikuan;Yang, Xiaodong;Yang, Hao

关键词：tassel; 3D phenotyping; TreeQSM; genotyping; clustering
High-throughput phenotyping techniques for forage: Status, bottleneck, and challenges

作者：Cheng, Tao;Zhang, Dongyan;Cheng, Tao;Wang, Zhaoming;Zhang, Dongyan;Zhang, Gan;Yuan, Feng;Liu, Yaling;Wang, Tianyi;Ren, Weibo;Zhao, Chunjiang

关键词：Forage; High-throughput phenotyping; Precision identification; Sensors; Artificial intelligence; Efficient breeding
Enhancing potato leaf protein content, carbon-based constituents, and leaf area index monitoring using radiative transfer model and deep learning

作者：Feng, Haikuan;Fan, Yiguang;Ma, Yanpeng;Liu, Yang;Chen, Riqiang;Bian, Mingbo;Fan, Jiejie;Yang, Guijun;Zhao, Chunjiang;Feng, Haikuan;Zhao, Chunjiang;Yue, Jibo;Fu, Yuanyuan;Leng, Mengdie;Jin, Xiuliang;Zhao, Yu

关键词：Potato; Deep learning; Radiative transfer model; Transfer learning; Leaf protein content
Revolutionizing Crop Breeding: Next-Generation Artificial Intelligence and Big Data-Driven Intelligent Design

作者：Zhang, Ying;Guo, Xinyu;Zhao, Chunjiang;Huang, Guanmin;Lu, Xianju;Wang, Yanru;Wang, Chuanyu;Zhang, Ying;Guo, Xinyu;Zhao, Chunjiang;Huang, Guanmin;Lu, Xianju;Wang, Yanru;Wang, Chuanyu;Zhang, Ying;Guo, Xinyu;Zhao, Chunjiang;Huang, Guanmin;Lu, Xianju;Wang, Yanru;Wang, Chuanyu;Zhao, Yanxin

关键词：Crop breeding; Next-generation artificial intelligence; Multiomics big data; Intelligent design breeding
Water phase distribution and its dependence on internal structure in soaking maize kernels: a study using low-field nuclear magnetic resonance and X-ray micro-computed tomography

作者：Wang, Baiyan;Zhao, Chunjiang;Wang, Baiyan;Gu, Shenghao;Wang, Juan;Wang, Guangtao;Guo, Xinyu;Zhao, Chunjiang

关键词：phenotyping; hydration; water absorption; seed emergence; kernel moisture

Towards resilience effectiveness: Assessing its patterns and determinants to identify optimal geographic zones

作者其他论文 更多>>

Recognition of maize seedling under weed disturbance using improved YOLOv5 algorithm

Boosting Cost-Efficiency in Robotics: A Distributed Computing Approach for Harvesting Robots

Genotyping Identification of Maize Based on Three-Dimensional Structural Phenotyping and Gaussian Fuzzy Clustering

High-throughput phenotyping techniques for forage: Status, bottleneck, and challenges

Enhancing potato leaf protein content, carbon-based constituents, and leaf area index monitoring using radiative transfer model and deep learning

Revolutionizing Crop Breeding: Next-Generation Artificial Intelligence and Big Data-Driven Intelligent Design

Water phase distribution and its dependence on internal structure in soaking maize kernels: a study using low-field nuclear magnetic resonance and X-ray micro-computed tomography

意 见 箱

作者其他论文更多>>

意见箱